Digital Process Optimization Intern: Data Analytics & IIoT

EssilorLuxottica

Agordo

Remoto

EUR 12.000 - 15.000

Tempo pieno

9 ore fa
Candidati tra i primi
Generatore di candidature

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Vantaggi offerti da questo lavoro

Paid internship

Descrizione del lavoro

EssilorLuxottica in Agordo (BL) is offering a 6-month paid internship in Digital Process Optimization within the BPI team. You will support Data Analytics initiatives using SQL, Power BI, Python or R, and contribute to IIoT and SPC digitization projects.

You will work with Continuous Improvement and Operations teams to deliver actionable insights and learn how to apply data-driven decisions in a fast-paced manufacturing environment.

Competenze

  • Educational background in STEM fields (Engineering, Statistics, Computer Science, or related).
  • Strong analytical and problem-solving skills.
  • Basic knowledge of SQL and relational databases.
  • Basic knowledge of data visualization tools; Power BI is a plus.
  • Basic knowledge of Python or R for statistical analysis.
  • Good adaptability, flexibility and willingness to learn in a dynamic environment.
  • Strong teamwork and communication skills.

Mansioni

  • Perform data analysis and visualization using SQL and Power BI.
  • Conduct statistical analysis (EDA, Regression, Correlation, ANOVA, Time series) using Python or R.
  • Support IIoT integration projects and digitalization initiatives for process improvement.
  • Assist in monitoring SPC indicators and efficiency metrics.
  • Support LPA audit digitalization and related reporting.
  • Collaborate with Continuous Improvement and Operations teams to deliver actionable insights.

Conoscenze

Analytical thinking
Problem-solving
Teamwork
Communication skills

Formazione

STEM fields (Engineering, Statistics, Computer Science, or related)

Strumenti

Power BI
SQL
Python
R

Descrizione del lavoro

EssilorLuxottica in Agordo (BL) is offering a 6-month paid internship in Digital Process Optimization within the BPI team. You will support Data Analytics initiatives using SQL, Power BI, Python or R, and contribute to IIoT and SPC digitization projects.

You will work with Continuous Improvement and Operations teams to deliver actionable insights and learn how to apply data-driven decisions in a fast-paced manufacturing environment.

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